Sandeep Madireddy, ANL Sandeep Madireddy is a Computer Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory. His research spans across the areas of probabilistic machine learning, bio-inspired and energy-efficient learning, high-performance computing and generative AI with an emphasis on safety and robustness. His research integrates algorithmic research in these areas with applied research aimed to advance scientific discovery in critical areas such as fusion energy sciences, cosmology and high-energy physics, weather and climate, and material science.
He previously was a postdoc and assistant computer scientist in Mathematics and Computer Science Division advised by Prasanna Balaprakash and Stefan Wild. Before joining Argonne, he obtained his Ph.D. in mechanical and materials engineering (focusing on Probabilistic machine Learning) from the University of Cincinnati, as part of the UC Simulation center (a Procter & Gamble Collaboration). Before that, he obtained his masters from Utah State University and bachelors from Birla Institute of Technology and Science (BITS-Pilani) in India